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148
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ICDM
2010
IEEE
273views Data Mining» more  ICDM 2010»
15 years 1 months ago
Learning Maximum Lag for Grouped Graphical Granger Models
Temporal causal modeling has been a highly active research area in the last few decades. Temporal or time series data arises in a wide array of application domains ranging from med...
Amit Dhurandhar
156
Voted
ESWA
2011
220views Database» more  ESWA 2011»
14 years 7 months ago
Unsupervised neural models for country and political risk analysis
This interdisciplinary research project focuses on relevant applications of Knowledge Discovery and Artificial Neural Networks in order to identify and analyse levels of country, b...
Álvaro Herrero, Emilio Corchado, Alfredo Ji...
145
Voted
APIN
2006
136views more  APIN 2006»
15 years 3 months ago
Cell modeling with reusable agent-based formalisms
Biologists are building increasingly complex models and simulations of cells and other biological entities, and are looking at alternatives to traditional representations. Making ...
Ken Webb, Tony White
122
Voted
SIGCOMM
2009
ACM
15 years 10 months ago
Modeling and understanding end-to-end class of service policies in operational networks
Business and economic considerations are driving the extensive use of service differentiation in Virtual Private Networks (VPNs) operated for business enterprises today. The resul...
Yu-Wei Eric Sung, Carsten Lund, Mark Lyn, Sanjay G...
170
Voted
JCB
2008
159views more  JCB 2008»
15 years 3 months ago
BayesMD: Flexible Biological Modeling for Motif Discovery
We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
Man-Hung Eric Tang, Anders Krogh, Ole Winther